<h3>The short-run aggregate supply curve shows the relationship between the price level and aggregate expenditure
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Explanation:
A short-run aggregate supply curve (SRAS) is a graphical model that shows the positive relationship between aggregate price level and aggregate production amount supplied in an economy. The short-run aggregate supply curve is sloping upward as the supplied quantity increases as the prices increase.
The short-run aggregate supply curve captures the relationship between the actual output and the price level. True production becomes bigger as the price level increases. As the price level decreases, actual production decreases too.
A recurring activity is one that happens on a regular basis. These activities usually are very similar and refer to the same thing and objective. Recurring activities that an organization carries out in order to enhance its efficiency and its ability to meet requirements can lead to c<span>ontinual improvement.
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Answer:
Net Present Value = $59,632.78
Explanation:
<em>The net present value NPV) of a project is the present value of cash inflow less the present value of cash outflow of the project.
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<em>NPV = PV of cash inflow - PV of cash outflow
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Present value of cash inflow:
65,000 × (1.09375)^(-1) + 98000
×(1.09375)^(-2)+ 126,000
×(1.09375)^(-3)+ 132,000 × (1.09375)^(-4)= 326882.7792
PV of annual maintenance cost :
=1,500 × (1- 1.09375^(-4))/0.09375
=4819.84773
NPV = 26882.7792 - 4819.84773
- (255,000+12250)
= 59,632.78
Answer:
The correct answer is $57.
Explanation:
According to the scenario, the computation of the given data are as follows:
Dividend = $11.40
Growth rate = -0.05
Required rate of return = 0.14
So, we can calculate the price by using following formula:
Price = Dividend × ( 1 + Growth rate) ÷ ( return rate - growth rate)
By putting the value, we get
= $11.4 × ( 1 - 0.05) ÷ ( 0.14 + 0.05)
= $57
Answer:
The correct answer is D
Explanation:
Empirical rule is the rule in statistics, which defined as that for the normal distribution, that is as:
68% of the data fall under one standard deviation of mean.
Data which is 95% lie under the two standard deviations of the mean.
Data (All) which is 99.7% lie under the three standard deviations of the mean.
So, in this case, the sample mean fall under second category, which is as:
= Sample mean ± 2 (Standard deviation)
= $150 ± 2($20)
= $150 ± $40
= $150 + $40 and $150 - $40
= $190 and $110
